intelligent tutoring systems. Prior work in question generation relies primarily on one view of
the sentence provided by a parser of a given type, such as phrase structure trees or
predicate argument structure. In contrast, we explore using multiple views from different
parsers to create a tree structure which represents items of interest for question generation.
This approach resulted in a 17% reduction in the error rate compared with our prior work …